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A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning
Yan Shen, Zhanghexuan Ji, Chunwei Ma +1
Object tracking is one of the fundamental problems in visual recognition tasks and has achieved significant improvements in recent years. The achievements often come with the price…
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Yan Shen, Zhanghexuan Ji, Mingchen Gao
Many segmentation tasks for biomedical images can be modeled as the minimization of an energy function and solved by a class of max-flow and min-cut optimization algorithms. Howeve…
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen, Mingchen Gao
Brain Tumor Segmentation from magnetic resonance imaging (MRI) is a critical technique for early diagnosis. However, rather than having complete four modalities as in BraTS dataset…
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Yan Shen, Mingchen Gao
We present and evaluate a new deep neural network architecture for automatic thoracic disease detection on chest X-rays. Deep neural networks have shown great success in a plethora…